# How to know if a time series is stationary or non-stationary?

I am using R, I searched on Google and learnt that kpss.test(), PP.test(), and adf.test() are used to know about stationarity of time series.

But I am not a statistician, who can interpret their results

> PP.test(x)

Phillips-Perron Unit Root Test
data:  x
Dickey-Fuller = -30.649, Truncation lag parameter = 7, p-value = 0.01

> kpss.test(b$V1) KPSS Test for Level Stationarity data: b$V1
KPSS Level = 0.0333, Truncation lag parameter = 3, p-value = 0.1

Warning message:

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